MUST SEE JOB FOR ANY DATA SCIENTIST THAT IS SUPER PASSIONATE ABOUT WORKING WITH LLMs AND CREATING A BETTER LIFE FOR OTHER’S CARE!
** REMOTE – AMAZING COMP PACKAGE (to include stocks & bonus) – WORK WITH INCREDIBLY SMART PEOPLE WHO ARE CHANGING HEALTHCARE**
Our client is revolutionizing healthcare by delivering value-based care to their patients. Their total care model empowers doctors to prioritize the patient’s well-being over fees preserving the autonomy of local physicians while establishing enduring partnerships. As a Principal Data Scientist , you will play a pivotal role in addressing complex healthcare challenges, ranging from enhancing medical diagnoses to identifying medication adherence risks.
- Modeling Expertise: Develop, train, and deploy predictive models utilizing deep learning and large language models (LLMs)/generative architectures to address diverse healthcare use cases.
- Team Leadership: Lead project teams, provide mentorship to junior data scientists, and collaborate closely with clinical and operational stakeholders across the company to drive innovation.
- MLOps Implementation: Construct production-quality pipelines for model training and inference, utilizing the MLOps stack on AWS to ensure seamless integration.
- Data Utilization: Work with extensive clinical datasets sourced from company’s data lake, spanning various data sources and formats.
- Research and Innovation: Stay abreast of the latest advancements in machine learning and other technologies relevant to value-based care. Identify strategic opportunities for publishing based on project achievements.
- Work Environment: What more can you ask for – REMOTE!! Your home office.
- Educational Background: Possess an advanced degree (PhD, MS) in a quantitative field, such as machine learning, statistics, economics, population health, epidemiology, or computer science.
- Deep Learning Experience: Demonstrate a minimum of 5 years of experience in training deep learning models, with a preference for hands-on experience with large language models (LLMs).
- Technical Proficiency: Exhibit expert proficiency in Python and SQL, essential for effective data analysis and queries.
- Production Experience: Have a minimum of 5 of experience working in a software production environment or a similar research background. Should be able to show documents or publications as to your research.
- Dental insurance
- Employee assistance program
- Employee discount
- Flexible schedule
- Flexible spending account
- Health insurance
- Health savings account
- Life insurance
- Paid time off
- Parental leave
- Professional development assistance
- Referral program
- Retirement plan
- Tuition reimbursement
- Vision insurance